def testSummary(self):
with self.test_session():
inputs = tf.constant(_rand(1, 18, 19, 5))
spec = "net = Cr(64, [5, 5])"
outputs = specs.create_net(spec, inputs)
tf.initialize_all_variables().run()
result = outputs.eval()
self.assertEqual(tuple(result.shape), (1, 18, 19, 64))
summaries.tf_spec_summary(spec, inputs)
def testSummary(self):
with self.test_session():
inputs = tf.constant(_rand(1, 18, 19, 5))
spec = "net = Cr(64, [5, 5])"
outputs = specs.create_net(spec, inputs)
tf.global_variables_initializer().run()
result = outputs.eval()
self.assertEqual(tuple(result.shape), (1, 18, 19, 64))
summaries.tf_spec_summary(spec, inputs)